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dc.creatorNovković, Đorđe
dc.creatorBurazer, Jela M.
dc.creatorĆoćić, Aleksandar
dc.creatorLečić, Milan
dc.date.accessioned2022-09-19T18:29:21Z
dc.date.available2022-09-19T18:29:21Z
dc.date.issued2018
dc.identifier.issn1450-5584
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/2849
dc.description.abstractThis paper presents research regarding the influence of turbulent kinetic energy (TKE) level on accuracy of Reynolds averaged Navier-Stokes (RANS) based turbulence models. A theoretical analysis of influence TKE level on accuracy of the RANS turbulence models has been performed according to the Boussinesq hypothesis definition. After that, this theoretical analysis has been investigated by comparison of numerically and experimentally obtained results on the test case of a steady-state incompressible swirl-free flow in a straight conical diffuser named Azad diffuser. Numerical calculations have been performed using the OpenFOAM CFD software and first and second-order closure turbulence models. TKE level, velocity profiles and Reynolds stresses have been calculated downstream in four different cross sections of the diffuser. Certain conclusions about modeling turbulent flows by k - epsilon and LRR turbulence models have been made by comparing the velocity profiles, TKE distribution and Reynolds stresses on the selected cross sections.en
dc.publisherSrpsko društvo za mehaniku, Beograd
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/33046/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35046/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceTheoretical and Applied Mechanics
dc.subjectturbulent kinetic energyen
dc.subjectRANSen
dc.subjectOpenFOAMen
dc.subjectdiffuseren
dc.subjectCFDen
dc.titleOn the influence of turbulent kinetic energy level on accuracy of k - epsilon and lrr turbulence modelsen
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage149
dc.citation.issue2
dc.citation.other45(2): 139-149
dc.citation.rankM24
dc.citation.spage139
dc.citation.volume45
dc.identifier.doi10.2298/TAM171201009N
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1544/2846.pdf
dc.identifier.scopus2-s2.0-85063053989
dc.identifier.wos000455467700002
dc.type.versionpublishedVersion


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